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dc.contributor.author
Tohmé, Fernando Abel  
dc.contributor.author
Gianluca, Caterina  
dc.contributor.author
Gangle, Jonathan  
dc.date.available
2022-10-25T12:02:23Z  
dc.date.issued
2021  
dc.identifier.citation
A Categorical Characterization of a Grossone-Iteratively Defined State of Common Knowledge; 14th International Conference on Game Theory and Management; San Petersburgo; Rusia; 2020; 329-341  
dc.identifier.issn
2310-2608  
dc.identifier.uri
http://hdl.handle.net/11336/174726  
dc.description.abstract
We present here a novel approach to the analysis of common knowledge based on category theory. In particular, we model the global epistemic state for a given set of agents through a hierarchy of beliefs represented by a presheaf construction. Then, by employing the properties of a categorical monad, we prove the existence of a state, obtained in an iterative fashion, in which all agents acquire common knowledge of some underlying statement. In order to guarantee the existence of a fixed point under certain suitable conditions, we make use of the properties entailed by Sergeyev's numeral system called grossone, which allows a finer control on the relevant structure of the infinitely nested epistemic states.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Saint Petersburg State University  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
COMMON KNOWLEDGE  
dc.subject
CATEGORY THEORY  
dc.subject
GROSSONE  
dc.subject.classification
Otras Matemáticas  
dc.subject.classification
Matemáticas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A Categorical Characterization of a Grossone-Iteratively Defined State of Common Knowledge  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2022-09-08T10:36:27Z  
dc.journal.volume
14  
dc.journal.pagination
329-341  
dc.journal.pais
Rusia  
dc.journal.ciudad
San Petersburgo  
dc.description.fil
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina  
dc.description.fil
Fil: Gianluca, Caterina. No especifíca;  
dc.description.fil
Fil: Gangle, Jonathan. No especifíca;  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mathnet.ru/php/archive.phtml?wshow=paper&jrnid=cgtm&paperid=406&option_lang=eng  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Internacional  
dc.type.subtype
Conferencia  
dc.description.nombreEvento
14th International Conference on Game Theory and Management  
dc.date.evento
2020-06-24  
dc.description.ciudadEvento
San Petersburgo  
dc.description.paisEvento
Rusia  
dc.type.publicacion
Journal  
dc.description.institucionOrganizadora
Steklov Mathematical Institute  
dc.source.revista
Contributions to Game Theory and Management  
dc.type
Conferencia